Surgical phase modelling in minimal invasive surgery
Author:
Funder
Phoenix Stichting, Schiedam, The Netherlands
Publisher
Springer Science and Business Media LLC
Subject
Surgery
Link
http://link.springer.com/content/pdf/10.1007/s00464-018-6417-4.pdf
Reference24 articles.
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2. Blikkendaal M, Driessen S, Rodrigues S, Rhemrev J, Smeets M, Dankelman J, Dobbelsteen JVD, Jansen F (2016) Surgical flow disturbances in dedicated minimally invasive surgery suites: an observational study to assess its supposed superiority over conventional suites. J Minim Invasive Gynecol. https://doi.org/10.1016/j.jmig.2016.08.207
3. Silber JH, Rosenbaum PR, Zhang X, Even-Shoshan O (2007) Influence of patient and hospital characteristics on anesthesia time in medicare patients undergoing general and orthopedic surgery. Anesthesiology 106:356
4. Eijkemans MJ, van Houdenhoven M, Nguyen T, Boersma E, Steyerberg EW, Kazemier G (2010) Predicting the unpredictable: a new prediction model for operating room times using individual characteristics and the surgeon’s estimate. Anesthesiology 112:41
5. Zhou J, Dexter F, Macario A, Lubarsky DA (1999) Relying solely on historical surgical times to estimate accurately future surgical times is unlikely to reduce the average length of time cases finish late. J Clin Anesthesia 11:601
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